lxd99 / CTCPLinks
code and data for Continuous-Time Graph Learning for Cascade Popularity Prediction, IJCAI 2023
☆11Updated 2 years ago
Alternatives and similar repositories for CTCP
Users that are interested in CTCP are comparing it to the libraries listed below
Sorting:
- ☆13Updated last year
- This repository is the official implementation of "Dynamic Graph Information Bottleneck (DGIB)" accepted by the research tracks of The We…☆16Updated 2 years ago
- Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning☆19Updated last year
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆34Updated 2 years ago
- A new framework, collaborative cascade prediction based on graph neural networks (CCasGNN) to jointly utilize the structural characterist…☆10Updated 4 years ago
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆37Updated last year
- ☆17Updated 7 years ago
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆39Updated 2 years ago
- Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022☆38Updated 3 years ago
- STHN: Simplifying Temporal Heterogeneous Network for Continuous-Time Link Prediction [CIKM 2023]☆11Updated 2 years ago
- [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…☆54Updated 3 years ago
- Implement of our TKDE paper: Hyperbolic Graph Learning for Social Recommendation☆13Updated last year
- Multi-scale Information Diffusion Prediction with Sequential Hypergraphs☆13Updated last year
- PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"☆49Updated 2 years ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆54Updated last year
- ☆19Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Updated 3 years ago
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆24Updated 3 years ago
- Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs, International Conference on Machine Learning (ICML), 2025☆14Updated 7 months ago
- TKDE 2022. CCCL: Contrastive Cascade Graph Learning.☆39Updated last year
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 4 years ago
- Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022)☆19Updated 2 years ago
- This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Lea…☆17Updated 2 years ago
- ☆12Updated 10 months ago
- ☆16Updated 2 years ago
- ☆31Updated 2 years ago
- [IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity☆17Updated last year
- Codebase for KDD22 paper "Subset Node Anomaly Tracking over Large Dynamic Graphs"☆15Updated 3 years ago
- GOODAT: Towards Test-time Graph Out-of-Distribution Detection☆12Updated last year
- Official repository for NeurIPS 2023 paper "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homo…☆21Updated last year